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BMC Bioinformatics|May 27, 2017
MQAPRank: improved global protein model quality assessment by learning-to-rankXiaoyang Jing, Qiwen DongBMC Bioinformatics|September 4, 2017
RRCRank: a fusion method using rank strategy for residue-residue contact predictionXiaoyang Jing, Qiwen Dong, Ruqian LuIEEE/ACM Transactions on Computational Biology and Bioinformatics|April 19, 2019
Amino Acid Encoding Methods for Protein Sequences: A Comprehensive Review and AssessmentXiaoyang Jing, Qiwen Dong, Daocheng Hong, et al.Scientific Reports|August 18, 2016
Sorting protein decoys by machine-learning-to-rankXiaoyang Jing, Kai Wang, Ruqian Lu, et al.IEEE/ACM Transactions on Computational Biology and Bioinformatics|September 8, 2010
Novel nonlinear knowledge-based mean force potentials based on machine learningQiwen Dong, Shuigeng ZhouNature Computational Science|March 24, 2022
Fast and effective protein model refinement using deep graph neural networksXiaoyang Jing, Jinbo XuBioinformatics (Oxford, England)|December 16, 2020
Improved protein model quality assessment by integrating sequential and pairwise features using deep learningXiaoyang Jing, Jinbo XuBMC Bioinformatics|June 29, 2006
Novel knowledge-based mean force potential at the profile levelQiwen Dong, Xiaolong Wang, Lei LinComputers in Biology and Medicine|June 14, 2011
Protein remote homology detection based on auto-cross covariance transformationXuan Liu, Lijie Zhao, Qiwen DongBioinformatics (Oxford, England)|August 27, 2009
A new taxonomy-based protein fold recognition approach based on autocross-covariance transformationQiwen Dong, Shuigeng Zhou, Jihong GuanPageof 8